Predicting the probability of death using proteomics

Predicting the probability of death using proteomics

Eiriksdottir et al. use a temporal proteomic dataset from over 22,000 Icelandic individuals to identify predictors and predict all-cause mortality. Their findings suggest that the plasma proteome may be of value in general health screening for risk of death.

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Detalles Bibliográficos
Autores principales: Thjodbjorg Eiriksdottir, Steinthor Ardal, Benedikt A. Jonsson, Sigrun H. Lund, Erna V. Ivarsdottir, Kristjan Norland, Egil Ferkingstad, Hreinn Stefansson, Ingileif Jonsdottir, Hilma Holm, Thorunn Rafnar, Jona Saemundsdottir, Gudmundur L. Norddahl, Gudmundur Thorgeirsson, Daniel F. Gudbjartsson, Patrick Sulem, Unnur Thorsteinsdottir, Kari Stefansson, Magnus O. Ulfarsson
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Biology (General)
QH301-705.5
Acceso en línea:https://doaj.org/article/1ff49a74495d4c738768f8f340f91c3e
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Descripción
Sumario:Eiriksdottir et al. use a temporal proteomic dataset from over 22,000 Icelandic individuals to identify predictors and predict all-cause mortality. Their findings suggest that the plasma proteome may be of value in general health screening for risk of death.

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